Artificial Intelligence
Semantic interpretation and the resolution of ambiguity
Semantic interpretation and the resolution of ambiguity
Language analysis in not-so-limited domains
ACM '86 Proceedings of 1986 ACM Fall joint computer conference
The organization of knowledge in a multi-lingual, integrated parser (natural language, translation)
The organization of knowledge in a multi-lingual, integrated parser (natural language, translation)
A unified theory of inference for text understanding
A unified theory of inference for text understanding
Semantic interpretation using KL-ONE
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
The semantics of grammar formalisms seen as computer languages
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Knowledge structures for natural language generation
COLING '86 Proceedings of the 11th coference on Computational linguistics
Default reasoning in natural language processing
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
Incremental parsing and reason maintenance
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
Default reasoning in natural language processing
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
Validation of terminological inference in an information extraction task
HLT '93 Proceedings of the workshop on Human Language Technology
Semantic inference in natural language: validating a tractable approach
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Towards incremental disambiguation with a generalized discrimination network
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
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A language understanding program must produce as precise a meaning representation as possible from a linguistic input. CONCRETION is the process of developing a specific interpretation by combining various levels of conceptual information. This process represents an assumption-based method of language interpretation, and departs from the traditional approach of treating multiple interpretations as independent. Concretion allows the language analyzer to develop a sufficiently specific representation without excessive computation or brittle interpretation rules.